Personal Information
Organization / Workplace
Within 23 wards, Tokyo, Japan Japan
Occupation
Chief Analytics Officer at Future Standard Co., Ltd.
Industry
Technology / Software / Internet
About
Data scientist with 3 years of full-time work experience as online marketing specialist, and 2 as software engineer. Have enthusiastic intellectual curiosity to explore rules of human cognition and behavior hidden in large-scale behavioral data. Prior to my full-time employment, earned B.A and M.A. in business and commerce, specialized in econometrics and statistics.
• Significant experience with Python, Java, C++, JavaScript, VBA, PHP, and Apex.
• Skilled with large-scale quary languages such as Hive, Pig, and MapReduce.
• Statistical softwares: extensive experience with R; some experience with SAS and S-plus.
• Have significant knowledge in Tableau and QlikView.
Tags
映像解析
動画解析
topic model
mllib
ft_meetup
spark
fashion
lda
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Presentations
(5)Likes
(43)Unit Testing Express Middleware
Morris Singer
•
9 years ago
AWS Black Belt Tech シリーズ 2015 - AWS IoT
Amazon Web Services Japan
•
8 years ago
[AWS初心者向けWebinar] AWSではじめよう、IoTシステム構築
Amazon Web Services Japan
•
8 years ago
深層学習による自然言語処理の研究動向
STAIR Lab, Chiba Institute of Technology
•
7 years ago
深層学習入門
Danushka Bollegala
•
9 years ago
Factorization Machines with libFM
Liangjie Hong
•
11 years ago
Kdd 2014 Tutorial - the recommender problem revisited
Xavier Amatriain
•
9 years ago
SmartNews TechNight Vol.5 : SmartNews Ads の配信最適化の仕組みはどうなってるの? (エンジニア / SmartNews Ads : 小宮 篤史)
SmartNews, Inc.
•
8 years ago
DSP開発におけるSpark MLlibの活用
Kotaro Tanahashi
•
8 years ago
リクルートライフスタイル全サービス横断のリアルタイムログ収集・可視化・分析基盤
Recruit Lifestyle Co., Ltd.
•
8 years ago
Spark徹底入門 #cwt2015
Cloudera Japan
•
8 years ago
レコメンドバッチ高速化に向けたSpark/MapReduceの機械学習ライブラリ比較検証
Recruit Technologies
•
8 years ago
2015-11-17 きちんと知りたいApache Spark ~機械学習とさまざまな機能群
Yu Ishikawa
•
8 years ago
2014 11-20 Machine Learning with Apache Spark 勉強会資料
Recruit Technologies
•
9 years ago
Sparkパフォーマンス検証
BrainPad Inc.
•
8 years ago
Taste of Wine vs. Data Science
Takashi J OZAKI
•
8 years ago
協調フィルタリングを利用した推薦システム構築
Masayuki Ota
•
8 years ago
Google Cloud Dataflow を理解する - #bq_sushi
Google Cloud Platform - Japan
•
8 years ago
エンタープライズデータハブ活用の落とし穴 2015 08-27
Cloudera Japan
•
8 years ago
マーケティングを捨てよ、サポートへ出よう 事例から見るスタートアップ初期におけるユーザー獲得
Takaaki Umada
•
9 years ago
Large-Scale Machine Learning with Apache Spark
DB Tsai
•
9 years ago
広告配信現場で使うSpark機械学習
x1 ichi
•
8 years ago
数式をnumpyに落としこむコツ
Shuyo Nakatani
•
12 years ago
バンディットアルゴリズム入門と実践
智之 村上
•
10 years ago
20130727 ソシャゲkpi分析 tokyowebmining28_izawa_up
正志 井澤
•
10 years ago
DAUを評価指標から捨てた会社の話 #tokyowebmining
Tokoroten Nakayama
•
10 years ago
決定版:サービスの盛り上がり具合をユーザの数(DAU)から読み解く方法
Daisuke Nogami
•
10 years ago
【14-B-2】グリーを支えるデータ分析基盤の過去と現在(橋本泰一〔グリー〕)
Developers Summit
•
10 years ago
Deep Learningと画像認識 ~歴史・理論・実践~
nlab_utokyo
•
9 years ago
センサデータ解析におけるJubatus活用事例
JubatusOfficial
•
9 years ago
Personal Information
Organization / Workplace
Within 23 wards, Tokyo, Japan Japan
Occupation
Chief Analytics Officer at Future Standard Co., Ltd.
Industry
Technology / Software / Internet
About
Data scientist with 3 years of full-time work experience as online marketing specialist, and 2 as software engineer. Have enthusiastic intellectual curiosity to explore rules of human cognition and behavior hidden in large-scale behavioral data. Prior to my full-time employment, earned B.A and M.A. in business and commerce, specialized in econometrics and statistics.
• Significant experience with Python, Java, C++, JavaScript, VBA, PHP, and Apex.
• Skilled with large-scale quary languages such as Hive, Pig, and MapReduce.
• Statistical softwares: extensive experience with R; some experience with SAS and S-plus.
• Have significant knowledge in Tableau and QlikView.
Tags
映像解析
動画解析
topic model
mllib
ft_meetup
spark
fashion
lda
See more